Abstract

We introduce an indicator to measure the diffusion of scientific research. Consistent with Stirling’s 3-factor diversity model, the diffusion score captures not only variety and balance, but also disparity among citing article cohorts. We apply it to benchmark article samples from six 1995 Web of Science subject categories (SCs) to trace trends in knowledge diffusion over time since publication. Findings indicate that, for most SCs, diffusion scores steadily increase with time. Mathematics is an outlier. We employ a typology of citation trends among benchmark SCs and correlate this with diffusion scores. We also find that self-cites do not, in most cases, significantly influence diffusion scores.

Leydesdorff, L., & Rafols, I. (2009). A global map of science based on the ISI subject categories. Journal of the American Society for Information Science and Technology,60(2), 348–362.CrossRefGoogle Scholar

Li, R., & Meng, L. (2010). On the framing of patent citations and academic paper citations in reflecting knowledge linkage: A discussion of the discrepancy of their divergent value-orientations. Chinese Journal of Library and Information Science,3(3), 37–45.Google Scholar

Liu, Y. X., & Rousseau, R. (2010). Knowledge diffusion through publications and citations: A case study using ESI-fields as unit of diffusion. Journal of the American Society for Information Science and Technology,61(2), 340–351.Google Scholar

Rafols, I., & Leydesdorff, L. (2009). Content-based and algorithmic classifications of journals: Perspectives on the dynamics of scientific communication and indexer effects. Journal of the American Society for Information Science and Technology,60(9), 1823–1835.CrossRefGoogle Scholar